Evidence map›Paper›PMID 35327386›Full record

ArticleBiomedicines2022

Urinary Galectin-3 as a Novel Biomarker for the Prediction of Renal Fibrosis and Kidney Disease Progression.

Shuo-Ming Ou, Ming-Tsun Tsai, Huan-Yuan Chen, Fu-An Li, Kuo-Hua Lee, Wei-Cheng Tseng, Fu-Pang Chang, Yao-Ping Lin, Ruey-Bing Yang, Der-Cherng Tarng

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  6. Spatial N-glycan rearrangement on αNature communications · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Shuo-Ming OuDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0003-0693-3728
Ming-Tsun TsaiDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0002-8597-4132
Huan-Yuan ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan.
Fu-An LiInstitute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan.ORCID 0000-0002-0580-7765
Kuo-Hua LeeDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0002-6314-8788
Wei-Cheng TsengDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0002-6940-9651
Fu-Pang ChangDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Yao-Ping LinDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Ruey-Bing YangInstitute of Biomedical Sciences, Academia Sinica, Taipei 115201, Taiwan.ORCID 0000-0003-3017-3714
Der-Cherng TarngDivision of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0001-9017-2081
National Yang Ming Chiao Tung University · TWInstitute of Biomedical Sciences, Academia Sinica · TW

Funding

Foundation for Poison Control FPC-109-002Ministry of Science and Technology, Taiwan MOST 106-2314-B-010-039-MY3, MOST 107-2314-B-075-052, MOST 108-2314-B-075-008, MOST 109-2314-B-075-067-MY3, MOST 109-2320-B-075-006, MOST109-2314-B-075-067-MY3Taipei, Taichung, Kaohsiung Veterans General Hospital, Tri-Service General Hospital, Academia Sinica Joint Research Program VTA110-V1-3-1Taipei Veterans General Hospital V107B-027, V108B-023, V108C-103, V108D42-004-MY3-2, V109B-022, V109C-114, V109D50-001-MY3-1, V109D50-001-MY3-2, V109D50-001-MY3-3, V109D50-002-MY3-2, V109D50-002-MY3-3, V110C-152, V110E-003-2, V111C-171Taipei Veterans General Hospital-National Yang-Ming University Excellent Physician Scientists Cultivation Program No.104-V-B-044
6 · The paper itself

Abstract

Plasma galectin-3 (Gal-3) is associated with organ fibrosis, but whether urinary Gal-3 is a potential biomarker of kidney disease progression has never been explored. Between 2018 and 2021, we prospectively enrolled 280 patients who underwent renal biopsy and were divided into three groups based on their urinary Gal-3 levels (<354.6, 354.6−510.7, and ≥510.8 pg/mL) to assess kidney disease progression (defined as ≥40% decline in the estimated glomerular filtration rate or end-stage renal disease) and renal histology findings. Patients in the highest urinary Gal-3 tertile had the lowest eGFRs and highest proteinuria levels. In multivariate Cox regression models, patients in the highest tertile had the highest risk of kidney disease progression (adjusted hazard ratio, 4.60; 95% confidence interval, 2.85−7.71) compared to those in the lowest tertile. Higher urinary Gal-3 levels were associated with more severe renal fibrosis. Intrarenal mRNA expression of LGALS3 (Gal-3-encoded gene) was most correlated with the renal stress biomarkers (IGFBP7 and TIMB2), renal function biomarkers (PTGDS) and fibrosis-associated genes (TGFB1). The urinary Gal-3 level may be useful for the identification of patients at high risk of kidney disease progression and renal fibrosis, and for the early initiation of treatments for these patients.

Indexed as

galectin-3kidney disease progressionrenal biopsyrenal fibrosisurinary biomarkers

Identifiers

PMID35327386
PMCPMC8945118
OpenAlexW4214931861

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.